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NHL Trends SDB Home    NHL Trends    NHL Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on SDB's sample su active on filter on
Trends from SDB's sample ou against,SDB's sample ou on,SDB's sample ou against,SDB's sample ou on
$ ROI wins losses % link
760 23.8 10 16 38.5 The Predators are 10-16-6 AGAINST since Mar 02, 2017 as a dog
760 24.5 10 16 38.5 The Predators are 10-16-5 AGAINST since Mar 02, 2017 as a road dog
830 43.7 13 6 68.4 The Predators are 13-6 ON since Oct 28, 2017
690 57.5 9 3 75.0 The Predators are 9-3 ON since Oct 28, 2017 as a favorite
620 31.0 12 7 63.2 The Predators are 12-7-1 ON since Mar 05, 2016 as a road favorite
580 52.7 8 3 72.7 The Predators are 8-3 ON since Oct 28, 2017 at home
580 52.7 8 3 72.7 The Predators are 8-3 ON since Oct 28, 2017 as a home favorite

Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins


How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
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Content for this site is generated using the Sports Data Query Language (SDQL).